Hi @acapone13,
to apply first conv2d layer into VTA, there are 2 solution/ steps, first is to
padding first conv2d from 3 channel into VTA hardware match channel for example
16, after that we
would can run first quantized conv2d layer on VTA , for sure
the padding would increase compute OP num
Hi @acapone13,
Thanks for following up this post and nice to know you are interested in VTA
performance optimization related topic, about the resenet18 pretrained model,
could I know which framework you use to generate
the model? and how much the accuracy lost is after the quantization?
Rega
Hi zhanghaohit,
thanks for this proposal, it is a very intersting topic, this proposal seems
like be a very big change, but some parts of
this proposal i am not quite understand and need your help for clarify,
first about the motivation part, this topic mentioned
#1 about "cloud device ma
Hi There,
VTA first conv layer is running on CPU and not get offload into FPGA, in most
case that is a performance bottle neck and need optimization, following are
some idea about the
optimization, please kindly comments.
Regards
Hua
1. training network to make first conv layer support int8
